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ORCIDOppositional Concepts in Computational Intelligence 2008
- Hamid R. Tizhoosh, Mario Ventresca:
Oppositional Concepts in Computational Intelligence. Studies in Computational Intelligence 155, Springer 2008, ISBN 978-3-540-70826-1 - Hamid R. Tizhoosh, Mario Ventresca:
Introduction. 1-8
Motivations and Theory
- Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan:
Opposition-Based Computing. 11-28 - Don L. McLeish:
Antithetic and Negatively Associated Random Variables and Function Maximization. 29-44 - Florencio G. Asenjo:
Opposition and Circularity. 45-57
Search and Reasoning
- Luís Moniz Pereira, Alexandre Miguel Pinto
:
Collaborative vs. Conflicting Learning, Evolution and Argumentation. 61-89 - H. Jaap van den Herik, Mark H. M. Winands:
Proof-Number Search and Its Variants. 91-118
Optimization
- Alice R. Malisia:
Improving the Exploration Ability of Ant-Based Algorithms. 121-142 - Shahryar Rahnamayan, Hamid R. Tizhoosh:
Differential Evolution Via Exploiting Opposite Populations. 143-160 - Tse Guan Tan, Jason Teo:
Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution. 161-206
Learning
- Lei Shi:
Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation. 209-232 - Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel:
The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques. 233-253 - Mario Ventresca, Hamid R. Tizhoosh:
Two Frameworks for Improving Gradient-Based Learning Algorithms. 255-284
Real World Applications
- Farhang Sahba, Hamid R. Tizhoosh:
Opposite Actions in Reinforced Image Segmentation. 287-297 - Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam:
Opposition Mining in Reservoir Management. 299-321
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